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Senior Data Engineer

Radley James
London, UK
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Extract Transform Load (ETL) Distributed Systems Financial Software Python (Programming Language) Reference Data Core Data Apache Kafka

Job description

You’ll join a highly talented group of data engineers building low-latency Python ETL pipelines ingesting multi-asset market data. Day to day, you will work directly with PMs and Quant Researchers to deliver datasets, features and workflows for modelling, strategy development and live trading. You will also engineer the next-gen sec master and reference data system.

Requirements

  • 5 to 10 years of building Python-based financial software at a hedge fund, bank or vendor (Pandas required)
  • Strong experience with ETL pipelines and distributed systems
  • Comfortable working with quants and trading teams

Nice to Have

  • Experience with Kafka
  • Deep understanding of market data
  • Prior work in a hedge fund, prop-trading or quant environment

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:21 min

Challenges of traditional mobile data synchronization

Timothy Marland · World Congress 2023

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

3:45 min

Duplicating permanent data intentionally instead of managing unstable references

Stanimira Vlaeva · JS Congress

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:57 min

Core data types and collection structures in Clojure

Tobias Schröder · World Congress 2021

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

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Python-Based Data Streaming Pipelines Within Minutes

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World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

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LIVE • almost 6 years ago

How to Benchmark Your Apache Kafka

Kirill Kulikov

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28:41
World Congress 2025 • about 1 year ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Let's Get Started With Apache Kafka® for Python Developers thumbnail
38:50
LIVE • over 3 years ago

Let's Get Started With Apache Kafka® for Python Developers

Lucia Cerchie

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

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